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Remove legacy Sphinx docs/ and finish the Mintlify cutover (#28964)

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zijiexia
2026-07-13 15:06:08 -07:00
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commit 50ed4c011f
235 changed files with 141 additions and 48841 deletions
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docs_new/docs/basic_usage/sampling_params.mdx
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@@ -42,7 +42,7 @@ The `/generate` endpoint accepts the following parameters in JSON format. For de
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>image_data</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>`Optional[Union[List[List[ImageDataItem]], List[ImageDataItem], ImageDataItem]] = None`</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>The image input. Supports three formats: (1) **Raw images**: PIL Image, file path, URL, or base64 string; (2) **Processor output**: Dict with `format: "processor_output"` containing HuggingFace processor outputs; (3) **Precomputed embeddings**: Dict with `format: "precomputed_embedding"` and `feature` containing pre-calculated visual embeddings. Can be a single image, list of images, or list of lists of images. See [Multimodal Input Formats](#multimodal-input-formats) for details.</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>The image input. Supports three formats: (1) **Raw images**: PIL Image, file path, URL, or base64 string; (2) **Processor output**: Dict with `format: "processor_output"` containing HuggingFace processor outputs; (3) **Precomputed embeddings**: Dict with `format: "precomputed_embedding"` and `feature` containing pre-calculated visual embeddings. Can be a single image, list of images, or list of lists of images. See [Multimodal Input Formats](#multimodal) for details.</td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>audio_data</td>
@@ -434,7 +434,7 @@ You can specify a JSON schema, regular expression or [EBNF](https://en.wikipedia
SGLang supports two grammar backends:
- [XGrammar](https://github.com/mlc-ai/xgrammar) (default): Supports JSON schema, regular expression, and EBNF constraints.
- XGrammar currently uses the [GGML BNF format](https://github.com/ggerganov/llama.cpp/blob/master/grammars/README).
- XGrammar currently uses the [GGML BNF format](https://github.com/ggml-org/llama.cpp/blob/master/grammars/README.md).
- [Outlines](https://github.com/dottxt-ai/outlines): Supports JSON schema and regular expression constraints.
If instead you want to initialize the Outlines backend, you can use `--grammar-backend outlines` flag: